Machine learning-based continuous monitoring for improving crash detection and response system accuracy

A method of executing crash response services by a crash detection and response system, comprising:

• operating a plurality of sensors disposed in a vehicle during a trip in the vehicle to collect driving data;
• detecting, using the driving data, a driving event as it occurs during the trip, wherein the driving event occurs at a first time;
• generating, after a first predefined duration starting at the first time and ending at a second time, a first crash classification for the driving event, wherein generating the first crash classification comprises executing a crash prediction machine learning model on the driving data collected during the first predefined duration and the driving data used to detect the driving event;
• determining that the first crash classification meets a first predefined crash threshold criterion;
• initiating an escalation action sequence in response to determining that the first crash classification meets the first predefined crash threshold criterion, wherein the escalation action sequence comprises a plurality of actions that are automatically executed according to a predefined order;
• generating, after a second predefined duration starting at the second time and ending at a third time, a second crash classification for the driving event, wherein generating the second crash classification comprises executing the crash prediction machine learning model on the driving data collected during the second predefined duration, the driving data collected during the first predefined duration, and the driving data used to detect the driving event:
• determining that the second crash classification does not meet a second predefined crash threshold criterion;
• and
• in response to determining that the second crash classification does not meet a second predefined crash threshold criterion, terminating the escalation action sequence prior to an automatic execution of an action of the plurality of actions.

A non-transitory machine-readable storage medium, including instructions that, when executed by one or more processors of a crash detection and response system, cause the one or more processors to perform operations comprising:

• operating a plurality of sensors disposed in a vehicle during a trip in the vehicle to collect driving data;
• detecting, using the driving data, a driving event as it occurs during the trip, wherein the driving event occurs at a first time;
• generating, after a first predefined duration starting at the first time and ending at a second time, a first crash classification for the driving event, wherein generating the first crash classification comprises executing a crash prediction machine learning model on the driving data collected during the first predefined duration and the driving data used to detect the driving event;
• determining that the first crash classification meets a first predefined crash threshold criterion;
• initiating an escalation action sequence in response to determining that the first crash classification meets the first predefined crash threshold criterion, wherein the escalation action sequence comprises a plurality of actions that are automatically executed according to a predefined order;
• generating, after a second predefined duration starting at the second time and ending at a third time, a second crash classification for the driving event, wherein generating the second crash classification comprises executing the crash prediction machine learning model on the driving data collected during the second predefined duration, the driving data collected during the first predefined duration, and the driving data used to detect the driving event;
• determining that the second crash classification does not meet a second predefined crash threshold criterion;
• and
• in response to determining that the second crash classification does not meet a second predefined crash threshold criterion, terminating the escalation action sequence prior to an automatic execution of an action of the plurality of actions.